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Foroughimehr N, Vilagosh Z, Yavari A, Wood A. The Effects of mmW and THz Radiation on Dry Eyes: A Finite-Difference Time-Domain (FDTD) Computational Simulation Using XFdtd. SENSORS (BASEL, SWITZERLAND) 2023; 23:5853. [PMID: 37447707 DOI: 10.3390/s23135853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/12/2023] [Accepted: 06/20/2023] [Indexed: 07/15/2023]
Abstract
The importance of investigating the health effects of RF radiation on the cornea cannot be overstated. This study aimed to address this need by utilizing a mathematical simulation to examine the absorption of millimeter wave (mmW) and terahertz (THz) waves by the cornea, considering both normal and pathological conditions. The simulation incorporated variations in tear film thickness and hydration levels, as these factors play a crucial role in corneal health. To assess the impact of RF radiation on the cornea, the study calculated temperature rises, which indicate heating effects for both dry and normal eyes. XFdtd, a widely used commercial software based on the Finite-Difference Time Domain (FDTD) method, was employed to evaluate the radiation absorption and resulting temperature changes. The outcomes of this study demonstrated a crucial finding, i.e., that changes in the water ratio and thickness of the tear film, which are associated with an increased risk of dry eye syndrome, directly impact the absorption of mmW and THz waves by the cornea. This insight provides valuable evidence supporting the interconnection between tear film properties and the vulnerability of the cornea to RF radiation.
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Affiliation(s)
- Negin Foroughimehr
- 6G Research and Innovation Lab, Swinburne University of Technology, Melbourne, VIC 3122, Australia
- School of Health Sciences, Swinburne University of Technology, Melbourne, VIC 3122, Australia
| | - Zoltan Vilagosh
- 6G Research and Innovation Lab, Swinburne University of Technology, Melbourne, VIC 3122, Australia
- School of Health Sciences, Swinburne University of Technology, Melbourne, VIC 3122, Australia
| | - Ali Yavari
- 6G Research and Innovation Lab, Swinburne University of Technology, Melbourne, VIC 3122, Australia
- School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC 3122, Australia
| | - Andrew Wood
- 6G Research and Innovation Lab, Swinburne University of Technology, Melbourne, VIC 3122, Australia
- School of Health Sciences, Swinburne University of Technology, Melbourne, VIC 3122, Australia
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Foroughimehr N, Vilagosh Z, Yavari A, Wood A. The Impact of Base Cell Size Setup on the Finite Difference Time Domain Computational Simulation of Human Cornea Exposed to Millimeter Wave Radiation at Frequencies above 30 GHz. SENSORS (BASEL, SWITZERLAND) 2022; 22:s22155924. [PMID: 35957481 PMCID: PMC9371411 DOI: 10.3390/s22155924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/04/2022] [Accepted: 08/05/2022] [Indexed: 05/10/2023]
Abstract
Mobile communication has achieved enormous technology innovations over many generations of progression. New cellular technology, including 5G cellular systems, is being deployed and making use of higher frequencies, including the Millimetre Wave (MMW) range (30-300 GHz) of the electromagnetic spectrum. Numerical computational techniques such as the Finite Difference Time Domain (FDTD) method have been used extensively as an effective approach for assessing electromagnetic fields' biological impacts. This study demonstrates the variation of the accuracy of the FDTD computational simulation system when different meshing sizes are used, by using the interaction of the critically sensitive human cornea with EM in the 30 to 100 GHz range. Different approaches of base cell size specifications were compared. The accuracy of the computation is determined by applying planar sensors showing the detail of electric field distribution as well as the absolute values of electric field collected by point sensors. It was found that manually defining the base cell sizes reduces the model size as well as the computation time. However, the accuracy of the computation decreases in an unpredictable way. The results indicated that using a cloud computing capacity plays a crucial role in minimizing the computation time.
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Affiliation(s)
- Negin Foroughimehr
- School of Health Sciences, Swinburne University of Technology, Melbourne, VIC 3122, Australia
- Australian Centre for Electromagnetic Bioeffects Research, Swinburne University of Technology, Melbourne, VIC 3122, Australia
- Correspondence:
| | - Zoltan Vilagosh
- School of Health Sciences, Swinburne University of Technology, Melbourne, VIC 3122, Australia
- Australian Centre for Electromagnetic Bioeffects Research, Swinburne University of Technology, Melbourne, VIC 3122, Australia
| | - Ali Yavari
- School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC 3122, Australia
| | - Andrew Wood
- School of Health Sciences, Swinburne University of Technology, Melbourne, VIC 3122, Australia
- Australian Centre for Electromagnetic Bioeffects Research, Swinburne University of Technology, Melbourne, VIC 3122, Australia
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Cherkasova OP, Serdyukov DS, Nemova EF, Ratushnyak AS, Kucheryavenko AS, Dolganova IN, Xu G, Skorobogatiy M, Reshetov IV, Timashev PS, Spektor IE, Zaytsev KI, Tuchin VV. Cellular effects of terahertz waves. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-210179VR. [PMID: 34595886 PMCID: PMC8483303 DOI: 10.1117/1.jbo.26.9.090902] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 09/08/2021] [Indexed: 05/15/2023]
Abstract
SIGNIFICANCE An increasing interest in the area of biological effects at exposure of tissues and cells to the terahertz (THz) radiation is driven by a rapid progress in THz biophotonics, observed during the past decades. Despite the attractiveness of THz technology for medical diagnosis and therapy, there is still quite limited knowledge about safe limits of THz exposure. Different modes of THz exposure of tissues and cells, including continuous-wave versus pulsed radiation, various powers, and number and duration of exposure cycles, ought to be systematically studied. AIM We provide an overview of recent research results in the area of biological effects at exposure of tissues and cells to THz waves. APPROACH We start with a brief overview of general features of the THz-wave-tissue interactions, as well as modern THz emitters, with an emphasis on those that are reliable for studying the biological effects of THz waves. Then, we consider three levels of biological system organization, at which the exposure effects are considered: (i) solutions of biological molecules; (ii) cultures of cells, individual cells, and cell structures; and (iii) entire organs or organisms; special attention is devoted to the cellular level. We distinguish thermal and nonthermal mechanisms of THz-wave-cell interactions and discuss a problem of adequate estimation of the THz biological effects' specificity. The problem of experimental data reproducibility, caused by rareness of the THz experimental setups and an absence of unitary protocols, is also considered. RESULTS The summarized data demonstrate the current stage of the research activity and knowledge about the THz exposure on living objects. CONCLUSIONS This review helps the biomedical optics community to summarize up-to-date knowledge in the area of cell exposure to THz radiation, and paves the ways for the development of THz safety standards and THz therapeutic applications.
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Affiliation(s)
- Olga P. Cherkasova
- Institute of Laser Physics of the Siberian Branch of the Russian Academy of Sciences, Russian Federation
- Novosibirsk State Technical University, Russian Federation
| | - Danil S. Serdyukov
- Institute of Laser Physics of the Siberian Branch of the Russian Academy of Sciences, Russian Federation
- Federal Research Center Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Russian Federation
| | - Eugenia F. Nemova
- Institute of Laser Physics of the Siberian Branch of the Russian Academy of Sciences, Russian Federation
| | - Alexander S. Ratushnyak
- Institute of Computational Technologies of the Siberian Branch of the Russian Academy of Sciences, Russian Federation
| | - Anna S. Kucheryavenko
- Institute of Solid State Physics of the Russian Academy of Sciences, Russian Federation
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Russian Federation
| | - Irina N. Dolganova
- Institute of Solid State Physics of the Russian Academy of Sciences, Russian Federation
- Sechenov University, Institute for Regenerative Medicine, Russian Federation
- Sechenov University, World-Class Research Center “Digital Biodesign and Personalized Healthcare,” Russian Federation
| | - Guofu Xu
- Polytechnique Montreal, Department of Engineering Physics, Canada
| | | | - Igor V. Reshetov
- Sechenov University, Institute for Cluster Oncology, Russian Federation
- Academy of Postgraduate Education FSCC FMBA, Russian Federation
| | - Peter S. Timashev
- Sechenov University, Institute for Regenerative Medicine, Russian Federation
- Sechenov University, World-Class Research Center “Digital Biodesign and Personalized Healthcare,” Russian Federation
- N.N. Semenov Institute of Chemical Physics, Department of Polymers and Composites, Russian Federation
- Lomonosov Moscow State University, Department of Chemistry, Russian Federation
| | - Igor E. Spektor
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Russian Federation
| | - Kirill I. Zaytsev
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Russian Federation
- Sechenov University, Institute for Regenerative Medicine, Russian Federation
- Bauman Moscow State Technical University, Russian Federation
| | - Valery V. Tuchin
- Saratov State University, Russian Federation
- Institute of Precision Mechanics and Control of the Russian Academy of Sciences, Russian Federation
- National Research Tomsk State University, Russian Federation
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Valušis G, Lisauskas A, Yuan H, Knap W, Roskos HG. Roadmap of Terahertz Imaging 2021. SENSORS (BASEL, SWITZERLAND) 2021; 21:4092. [PMID: 34198603 PMCID: PMC8232131 DOI: 10.3390/s21124092] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 06/07/2021] [Accepted: 06/08/2021] [Indexed: 01/01/2023]
Abstract
In this roadmap article, we have focused on the most recent advances in terahertz (THz) imaging with particular attention paid to the optimization and miniaturization of the THz imaging systems. Such systems entail enhanced functionality, reduced power consumption, and increased convenience, thus being geared toward the implementation of THz imaging systems in real operational conditions. The article will touch upon the advanced solid-state-based THz imaging systems, including room temperature THz sensors and arrays, as well as their on-chip integration with diffractive THz optical components. We will cover the current-state of compact room temperature THz emission sources, both optolectronic and electrically driven; particular emphasis is attributed to the beam-forming role in THz imaging, THz holography and spatial filtering, THz nano-imaging, and computational imaging. A number of advanced THz techniques, such as light-field THz imaging, homodyne spectroscopy, and phase sensitive spectrometry, THz modulated continuous wave imaging, room temperature THz frequency combs, and passive THz imaging, as well as the use of artificial intelligence in THz data processing and optics development, will be reviewed. This roadmap presents a structured snapshot of current advances in THz imaging as of 2021 and provides an opinion on contemporary scientific and technological challenges in this field, as well as extrapolations of possible further evolution in THz imaging.
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Affiliation(s)
- Gintaras Valušis
- Center for Physical Sciences and Technology (FTMC), Department of Optoelectronics, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania
- Institute of Photonics and Nanotechnology, Department of Physics, Vilnius University, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania
| | - Alvydas Lisauskas
- Institute of Applied Electrodynamics and Telecommunications, Vilnius University, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania;
- CENTERA Laboratories, Institute of High Pressure Physics PAS, Sokolowska 29/37, 01-142 Warsaw, Poland;
| | - Hui Yuan
- Physikalisches Institut, Goethe-Universität, Max-von-Laue Straße 1, D-60438 Frankfurt am Main, Germany; (H.Y.); (H.G.R.)
| | - Wojciech Knap
- CENTERA Laboratories, Institute of High Pressure Physics PAS, Sokolowska 29/37, 01-142 Warsaw, Poland;
| | - Hartmut G. Roskos
- Physikalisches Institut, Goethe-Universität, Max-von-Laue Straße 1, D-60438 Frankfurt am Main, Germany; (H.Y.); (H.G.R.)
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Characterisation of Biological Materials at THz Frequencies by Attenuated Total Reflection: Lard. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10238692] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The penetration depth of an evanescent wave in Attenuated Total Reflection (ATR) is dependent on the wavelength of the radiation utilised. At THz frequencies, the penetration depth into biological tissues is in the order of 0.1 to 0.5 mm; rendered pig lard was used as a model sample in this study. A method for the direct measurement of the evanescent wave penetration depth is presented which allows for the estimation of the dispersion of the complex refractive index by using the reflection of the evanescent wave from varying sample depths. The method employs frustrated total internal reflection, and has been demonstrated by using the THz/Far-IR beamline at the Australian synchrotron, and modelled using finite difference time domain (FDTD) simulations.
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